CI/CD, infrastructure as code and monitoring that stops 3am surprises
Deployment pipelines, infrastructure as code and observability, set up in your accounts and documented - so releases become routine and outages are caught by a dashboard rather than a customer.
It stays invisible until it isn't: a release that can't be rolled back, a certificate nobody renewed, a database with backups that were never tested, or a single engineer who is the only person who can reach production. Each of those has taken companies offline for days. The fix isn't glamorous - pipelines, infrastructure in version control, monitoring, tested restores - and it's mostly a few weeks of work.
Automated build, test and deploy on merge, with staging environments and one-command rollback. Releases become boring, which is the goal.
Terraform definitions for every resource, in your repository. The whole environment can be rebuilt from scratch, and reviewed like any other change.
Docker images and ECS or Kubernetes where the scale justifies it - sized for what you have, not for a conference talk.
Uptime, error rates, latency and log aggregation, with alerts that reach a human. Dashboards for the metrics that predict a problem.
Automated backups with a documented restore procedure that we run in front of you. An untested backup is a hope, not a plan.
Right-sizing, reserved capacity, storage lifecycle rules and budget alerts. Most first audits find 20–40% of spend going nowhere useful.
We map what's running, what it costs, how it deploys, what's monitored and what would happen if the main instance vanished right now.
You get: An infrastructure map and risk list
The urgent risks first: backups, access control, certificate renewal, single points of failure and anything currently undocumented.
You get: Documented, backed-up infrastructure
Pipelines, infrastructure as code and staging environments, so a deploy is a merge and a rollback is one command.
You get: A working CI/CD pipeline
Monitoring, alerting, dashboards, runbooks and a walkthrough with your team. Everything in your accounts, in your name.
You get: Runbooks plus every credential
A full review with the urgent risks fixed and the rest prioritised and costed.
Typical timeline: 2 weeks
The full pipeline: automated deploys, infrastructure in code and real observability.
Typical timeline: 4–6 weeks
We keep watch: patching, monitoring response, cost review and capacity planning.
Typical timeline: Monthly
Deployment pipelines, containerised infrastructure and observability - so releases are routine and outages are noticed by a dashboard rather than a customer.
AWS for breadth and for enterprise procurement, which usually expects it. Vercel or Netlify for front-end-heavy products where the operational simplicity is worth more than the flexibility. DigitalOcean when the workload is modest and the AWS bill would be mostly complexity. We pick based on your workload and your team's ability to run it, not on what's fashionable.
Probably not. Kubernetes earns its operational cost at real scale or with genuinely complex workloads. Most products are better served by managed container services or a platform-as-a-service, which do the same job with a fraction of the maintenance. We'll say plainly when your scale doesn't justify it.
Usually, and often substantially. First audits typically find 20–40% of spend going to over-provisioned instances, unattached volumes, forgotten environments, cross-region transfer and storage that should have aged into cheaper tiers. The audit tends to pay for itself within a few months.
For most migrations, none. We build the new environment alongside the old, replicate data, test thoroughly and cut over via DNS with the previous environment still standing as a rollback. Where a brief window is unavoidable we schedule it with you and keep it to minutes.
On a managed retainer, monitoring pages our on-call engineer and we respond directly. Without one, alerting still reaches your team with the runbooks we wrote - so whoever picks it up has a documented procedure rather than a guess.
Frequently. A common engagement is setting up the pipelines and infrastructure-as-code foundation properly and training the in-house team to run it, rather than becoming a permanent dependency. The documentation and handover are part of the deliverable, not an upsell.
Least-privilege IAM, secrets in a managed store rather than environment files in a repo, network segmentation, encryption at rest and in transit, automated dependency scanning and audit logging. We also review who currently has production access - that list is almost always longer than it should be.
No. Everything is in your cloud accounts under your billing, defined in Terraform in your repositories, with runbooks written for someone who has never met us. That's deliberate: you should stay because the work is good, not because leaving is painful.